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​Group Designation: Subgroup

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Group Description

PEDAL is a subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators (PALISI) network with the purpose of connecting the pediatric critical-care medicine community to gain insights and improve care through data science, artificial intelligence, machine learning, and informatics.

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Current Research​

• PICU Data Collaborative – The PICU Data Collaborative is comprised of institutions that contribute anonymized pediatric critical care electronic health record data to a shared data platform which resides in a private cloud-computing environment hosted by the Laura P. and Leland K. Whittier Virtual Pediatric Intensive Care Unit (VPICU) at Children’s Hospital Los Angeles. See https://pedsdata.org/

• Quantifying PICU Clinical Decision Support – As a follow-up to a prior qualitative assessment of clinical decision support use and beliefs across PICUs, we are supporting the creation of a centralized repository of passive and active decision support. With this dataset we will examine site-specific differences in alerts, order set usage, documentation templates, as well as result and laboratory highlighting. We will identify optimal order sets for specific conditions and provide guidance on passive decision support usage.

• Difficult and Critical Airway Practices in Children – This joint project between the NEAR4KIDS subgroup and PEDAL aims to understand the definitions of critical and difficult airway across institutions, as well as understand the composition of airway response teams. Additionally we aim to classify and assess the usability of the electronic health record identification of patients at risk of critical or difficult airway.

• DONATE: Death One Hour after Terminal Extubation – This series of studies led by Dr. Meredith Winter at CHLA aims to predict which patients will die within the organ recovery period for donation after cardiac death. First developed on data from a single center, it was then expanded to include multicenter retrospective data. Through the subgroup Dr. Winter has identified partners and workshopped
  implementation methods.

• Data-Driven Sepsis Phenotypes (R21HD096402) – The goals of this study are to: (1) re-calibrate and validate an existing measure of organ dysfunction based on data collected in the electronic health records of critically ill children; (2) analyze the early patterns of organ dysfunction in critically ill children with sepsis to uncover novel phenotypes; and (3) determine whether these phenotypes are associated
  with different outcomes and response to therapy. This research is being supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health (NIH).

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Website:  https://palisi-pedal.org/

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Twitter:  @PalisiPedal

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